Abstract:
:Structural identifiability is an often overlooked, but essential, prerequisite to the experiment design stage. The application of structural identifiability analysis to models of myelosuppression is used to demonstrate the importance of its considerations. It is shown that, under certain assumptions, these models are structurally identifiable and so drug and system specific parameters can truly be separated. Further it is shown via a meta-analysis of the literature that because of this the reported system parameter estimates for the "Friberg" or "Uppsala" model are consistent in the literature.
journal_name
J Pharmacokinet Pharmacodynjournal_title
Journal of pharmacokinetics and pharmacodynamicsauthors
Evans ND,Cheung SYA,Yates JWTdoi
10.1007/s10928-018-9569-xsubject
Has Abstractpub_date
2018-02-01 00:00:00pages
79-90issue
1eissn
1567-567Xissn
1573-8744pii
10.1007/s10928-018-9569-xjournal_volume
45pub_type
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